气候变化领域集成服务门户(CCPortal): Method development for estimating soil organic carbon content in an alpine region using soil moisture data

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DOI	10.1007/s11430-019-9554-8
	Method development for estimating soil organic carbon content in an alpine region using soil moisture data
	Luo, Qi; Yang, Kun; Chen, Yingying; Zhou, Xu
通讯作者	Yang, K (通讯作者)
发表日期	2020
ISSN	1674-7313
EISSN	1869-1897
起始页码	591
结束页码	601
卷号	63 期号:4
英文摘要	The high soil organic carbon (SOC) content in alpine meadow can significantly change soil hydrothermal properties and further affect the soil temperature and moisture as well as the surface water and energy budget. Therefore, this study first introduces a parameterization scheme to describe the effect of SOC content on soil hydraulic and thermal parameters in a land surface model (LSM), and then the SOC content is estimated by minimizing the difference between observed and simulated surface-layer soil moisture. The accuracy of the estimated SOC content was evaluated using in situ observation data at a soil moisture and temperature-measuring network in Naqu, central Tibetan Plateau. Sensitivity experiments show that the optimum time window for stabilizing the estimation results cannot be shorter than three years. In the experimental area, the estimated SOC content can generally reflect the spatial distribution of the measurements, with a root mean square error of 0.099 m(3) m(-3), a mean bias of 0.043 m(3) m(-3), and a correlation coefficient of 0.695. The estimated SOC content is not sensitive to the temporal frequency of the soil moisture data input. Even if the temporal frequency is as low as that of current soil moisture products derived from passive microwave satellites, the estimation result is still stable. Therefore, by combining a high-quality satellite soil moisture product and a parameter optimization method, it is possible to obtain grid-scale effective parameter values, such as SOC content, for an LSM and improve the simulation ability of the LSM.
关键词	LAND-SURFACE TEMPERATURE DATA ASSIMILATION SYSTEM TIBETAN PLATEAU MODEL SIMULATIONS PARAMETERS CALIBRATION RETRIEVALS VALIDATION GRASSLANDS
英文关键词	Land surface model; Soil organic carbon content; Soil porosity; Soil parameter estimation
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:000519897000009
来源期刊	SCIENCE CHINA-EARTH SCIENCES
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259856
推荐引用方式 GB/T 7714	Luo, Qi,Yang, Kun,Chen, Yingying,et al. Method development for estimating soil organic carbon content in an alpine region using soil moisture data[J]. 中国科学院青藏高原研究所,2020,63(4).
APA	Luo, Qi,Yang, Kun,Chen, Yingying,&Zhou, Xu.(2020).Method development for estimating soil organic carbon content in an alpine region using soil moisture data.SCIENCE CHINA-EARTH SCIENCES,63(4).
MLA	Luo, Qi,et al."Method development for estimating soil organic carbon content in an alpine region using soil moisture data".SCIENCE CHINA-EARTH SCIENCES 63.4(2020).